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• W4379162887 abstract "This study expands on research on the social-structural bases of obesity by examining the role played by individuals' positions within their egocentric social networks in shaping body mass index. We argue that individuals’ tendency to be a bridge between otherwise unconnected people can affect body mass index. Furthermore, health-specific resources flowing through their networks might interact with this network-structural position to shape this association. Using multivariate analyses of recent nationally representative data on older Americans, we find that occupying a bridging position within a network is negatively related to the likelihood of being obese. Moreover, people who have this bridging potential tend to benefit more from health-related knowledge in their networks than those who do not have it. Our findings underscore the importance of considering social network position and the functional specificity of ties in understanding the structural bases of health problems like obesity. We close by discussing implications of these findings for future work on obesity including potential insights into important health disparities." @default.
• W4379162887 created "2023-06-03" @default.
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• W4379162887 date "2023-07-01" @default.
• W4379162887 modified "2023-10-17" @default.
• W4379162887 title "Social network-structural position and obesity: Evidence from a national study" @default.
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• W4379162887 doi "https://doi.org/10.1016/j.socscimed.2023.116006" @default.
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